MCP Server

What you can build

Market research, content strategy, SEO, competitive intelligence, and more. One MCP connection gives your AI live trend data for every workflow.

Works with
Claude REST API Cursor ChatGPT Windsurf VS Code Copilot LangChain

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No credit card Instant delivery 100 free requests/mo
API calls served
MR AK JL TS +
Loved by developers
JL
@jamie.l
seo, small agency

Keyword trend reports for clients. Free tier forces us to batch for weekly digests, which turned out fine. Upgrade path exists when we outgrow it.

3 weeks ago
SR
Stella R.
Product Designer
3 weeks ago
AK
aisha_k
Full-stack Developer

~20 min to a working mcp hook. json shape is sane, docs match what ships

5 days ago
DP
Daniel P.
Data Engineer @ Fintech

We pipe weekly series into BigQuery for a few brand cohorts. The old Selenium path was mostly babysitting selectors when Google moved something. This is boring in the best way. Uptime's been solid.

Yesterday
NS
Nina S.
Product Manager, B2B SaaS

When leadership asks why we're shipping something, these screenshots land. Wish the dashboard had saved views; API's the strong half.

4 days ago
MA
Miguel A.
Frontend Developer
4 days ago
TW
tomw
solo / niche saas

Cursor + MCP, one try. Not a trends person; my side project emails me when a niche term spikes week over week and that's all I wanted.

1 week ago
LC
Laura
ML Engineer

Multi-source ranked lists into a notebook, straightforward. When I typo a param the error payload is readable. Sounds small. It isn't.

10 days ago
KN
Keiko N.
Graduate Student
10 days ago
BH
Ben H.
Freelance DevOps

Does what it says. I knocked a star because onboarding assumed I already knew MCP wiring; a copy-paste block for Claude Desktop would have saved me 15 minutes.

2 months ago
EM
Elena
growth, b2b saas

tiktok momentum vs paid spend in one looker sheet. unglamorous tbh — first rollout we didn't fight over about halfway through…

12 days ago
JF
Jordan F.
Backend Developer

Retries: predictable. No random HTML in responses (scrapers, I'm looking at you). Team key rotation would be nice; we rotate keys manually for now.

18 days ago
VL
Victor L.
IT Support
3 weeks ago
GV
Greta V.
Content Strategist

Meme or real trend? One call usually tells me. Still spot-check Search Console when it matters.

9 days ago
YT
Yuki
DevRel Contractor

Workshops: how do you ground LLMs in something fresher than training data? I show this. Engineers who hate glue code actually nod at the MCP bit.

1 month ago
CD
Chris D.
Agency Tech Lead

Client reporting. Finance finally stopped asking which line item this maps to. Peak hours can drag a little. Acceptable.

22 days ago
AM
@amirm
maintainer — ~3 repos

I wired this behind a small CLI for contributors who want trend context in issues. Keeping the surface area tiny matters for OSS, and the schema has not churned on me yet.

16 days ago
KL
Kendra L.
BI Analyst

30-day window, daily pull, internal scoreboard. The screenshot-from-Trends fight in Slack basically ended.

8 days ago
BT
Brooke T.
Demand Gen
8 days ago
PG
Priya
pre-revenue founder

We are pre-revenue, so free tier discipline matters. I hit the cap once during a brainstorm where everyone wanted to try random keywords. Learned to batch smarter.

11 days ago
HW
Henrik W.
Solutions Architect

Security review: HTTPS, scoped keys, no sketchy redirect hops we could find. Sounds basic. It isn't, in this category.

27 days ago
IZ
Isaac Z.
Mobile Developer

I do not need this daily, but when App Store rank shifts look weird, having Reddit and news context in one place saves me from context switching across six apps.

19 days ago
VA
Vera
Journalist / Newsletter Writer

Blowing up for real vs loud on one platform. Doesn't replace reporting. Keeps my ledes from lying.

14 days ago
QB
quinn.b
Staff Engineer

playwright job died every time google sneezed. same shape every week now.

3 days ago
AC
Alan C.
Hobbyist Developer
3 days ago
FS
Fatima
E-commerce Director

Seasonal demand spikes line up with what we see in Amazon search interest here. Merch team stopped sending me screenshots from random tools that never matched.

5 days ago
OR
Owen R.
Analytics Consultant

Decks: fine. I still export to Sheets by hand so minus one star. Direct connector someday maybe.

7 days ago
MJ
Marcus J.
Game Studio Producer

Steam concurrents plus Reddit chatter in one workflow beats our old spreadsheet ritual before milestone reviews.

13 days ago
LN
Leah
UX Researcher

Quick pulse on whether a feature name is confusing people in search before we ship copy. Cheap sanity check compared to a full survey.

17 days ago
DW
@diegow
SRE

Monitored from Grafana via a thin wrapper. p95 stayed under our SLO budget last month. One noisy day during a holiday but nothing alarming.

24 days ago
TC
Tessa C.
Brand Strategist

Narrative fights in meetings got shorter once we could point at the same trend line everyone agreed on. Sounds silly until you have lived through it.

20 days ago
UH
Uma H.
PhD Candidate, CS

Using normalized series as a weak prior in a forecasting experiment. Citation-friendly timestamps in the payload made reproducing runs less painful.

29 days ago
XE
Xavier E.
IT Manager

Approved for our pilot group after a quick vendor review. Would love SAML, not a blocker for our size.

33 days ago
DK
Daria K.
Operations Consultant
33 days ago
NP
Nina P.
Creator Economy Analyst

YouTube interest + TikTok hashtags in one view. Makes sponsor conversations less hand-wavy. I can point at something.

15 days ago
GK
Gabe K.
Automation Engineer

Cron before standup, Slack gets a blurb. Afternoon to wire. Two quarters without drama.

41 days ago
SY
Sofia Y.
Policy Researcher

Public-interest stuff: search interest is a rough attention proxy. I still hit primary sources. One signal among several, not the whole story.

26 days ago
RB
Raj B.
Cloud Architect

Runs in a VPC egress-only subnet with allowlisted domains. Fewer exceptions to explain to auditors than our last vendor.

35 days ago
CF
Clara
Community Manager

Spotting when a topic is about to flood Discord saves my team from reactive moderation fires. Not perfect, but directionally right often enough.

21 days ago
MZ
Mei Z.
Research Associate
21 days ago
WL
Wes L.
Fractional CMO

Lean team. ROI isn't subtle. I wouldn't rebuild our old scraper unless legal made us.

31 days ago
IK
ingrid.k
Technical Writer

Examples in the docs match what the MCP actually returns. You would be surprised how rare that is in this category.

6 days ago
JV
Jon V.
Night-shift NOC Tech

Pager stayed quiet. When something upstream flaked once, the error string told me which parameter to fix without opening logs first.

45 days ago
AE
Avery
University Lab Manager

Students use it for coursework demos. Budget is tight so free tier matters; we coach them to cache aggressively.

38 days ago
CW
@calebw
Engineering Manager

Rolled into our internal CLI. On-call hasn't paged for this integration once.

2 days ago
PL
Paul L.
Technical SEO

claude reads the json, i fix the content. split workflow that actually works

1 week ago
NK
Nadia
Amazon brand manager

Mostly lines up with what we hear on weekly sales calls. I still check inventory before I trust it for a buy.

3 days ago
FS
Felix S.
Performance marketing lead

Pulled a trend summary into ChatGPT for ad copy angles. Corny but it saved a two-hour brainstorm.

Yesterday
WT
Wes T.
Independent consultant

Client asked for a trend slide Thursday 5pm. This existed so I didn't have to fake it.

1 day ago
LY
Lena Y.
Systems developer

Windsurf picked up the MCP manifest without me hand-editing JSON. Small win, I'll take it.

4 days ago
MK
Milo K.
Head of growth

We stopped exporting from five different tools. One chart now goes in the Monday deck and nobody argues about whose export is newer.

10 days ago
RT
Rosa T.
Shopify app developer

Webhook → trend pull → Slack. Boring pipeline. That's the whole compliment.

2 days ago
SB
Soren B.
.NET contractor

Copilot suggested a call pattern that matched your error schema. Saved me a round trip to the docs.

18 days ago
GC
Gabe C.
Lifecycle marketer

Solid API. Dinged for dashboard polish. I'm not an engineer, I live in the UI half the day.

20 days ago
JK
Jon K.
Rust backend developer

Serde-friendly enough I didn't write a custom deserializer. High praise from a grumpy systems person.

15 days ago
QZ
Quinn Z.
Data intern
19 days ago
HT
Hassan T.
Web Performance Lead

Response sizes stay small enough for mobile hotspots. I hate APIs that dump megabytes for a sparkline.

4 days ago
Preparing your key…

Almost there. Two quick questions so we can optimize your setup.

What are you working on?

How will you connect?

Add to your AI in 30 seconds

An API key is required to connect. Get your free key above, then copy the pre-filled config for your client.

Add to Cursor

Or configure manually

Cursor SettingsTools & MCPAdd a Custom MCP Server

"trends-mcp": {
  "url": "https://api.trendsmcp.ai/mcp",
  "transport": "http",
  "headers": { "Authorization": "Bearer YOUR_API_KEY" }
}

Mac / Linux — ~/.cursor/mcp.json
Windows — %USERPROFILE%\.cursor\mcp.json

↑ Get your free key above first — the config won't work without it.

Or configure manually

UserSettingsDeveloperEdit Config — add inside mcpServers

"trends-mcp": {
  "command": "npx",
  "args": [
    "-y",
    "mcp-remote",
    "https://api.trendsmcp.ai/mcp",
    "--header",
    "Authorization:${AUTH_HEADER}"
  ],
  "env": {
    "AUTH_HEADER": "Bearer YOUR_API_KEY"
  }
}

Mac — ~/Library/Application Support/Claude/claude_desktop_config.json
Windows — %APPDATA%\Claude\claude_desktop_config.json

Fully quit and restart Claude Desktop after saving.

Claude Code (CLI)

claude mcp add --transport http trends-mcp https://api.trendsmcp.ai/mcp \
  --header "Authorization: Bearer YOUR_API_KEY"

Windsurf

SettingsAdvanced SettingsCascadeAdd custom server +

"trends-mcp": {
  "url": "https://api.trendsmcp.ai/mcp",
  "transport": "http",
  "headers": { "Authorization": "Bearer YOUR_API_KEY" }
}

Mac / Linux — ~/.codeium/windsurf/mcp_config.json
Windows — %USERPROFILE%\.codeium\windsurf\mcp_config.json
Or: Command Palette → Windsurf: Configure MCP Servers

VS Code

Extensions sidebar → search @mcp trends-mcpInstall — or paste manually into .vscode/mcp.json inside servers

"trends-mcp": {
  "type": "http",
  "url": "https://api.trendsmcp.ai/mcp",
  "headers": { "Authorization": "Bearer YOUR_API_KEY" }
}

Paste into .vscode/mcp.json, or:
Command Palette (⇧⌘P / Ctrl+Shift+P) → MCP: Add Server

Watch Claude call TrendsMCP and get back live trend data.

0–100
Normalized scale
5yr
Historical depth
30s
Setup time
Free
100 req/month

Main use case categories

One MCP connection covers every workflow below.

Real queries, real insights

Every example below is a single AI prompt. Your AI queries TrendsMCP and gets actionable, cross-platform intelligence.

Market Research
Validate market demand across platforms before committing budget
"Using TrendsMCP, compare 12-month growth for plant-based meat across Google, Amazon, TikTok, and Reddit"
Google
-18%
Amazon
-12%
TikTok
+15%
Reddit
-14%
Insight: Search and purchase intent are declining, but TikTok buzz is growing — a classic pattern where social awareness diverges from actual buying behavior. Data that saves a bad bet.
Content & SEO
Find rising keywords before your competitors rank for them
"Using TrendsMCP, what are the top trending Google searches right now? Then show me 3M growth for the top 5."
#1 trend
+340%
#2 trend
+185%
#3 trend
+120%
Insight: Combine live trending data with growth metrics to find keywords with real momentum. Publish content on rising topics before SERPs get competitive.
E-commerce & Product
Validate product demand before stocking inventory
"Via TrendsMCP, compare Amazon search trends for Stanley cup vs Yeti tumbler over the past 2 years"
Stanley
+156%
Yeti
-8%
Insight: Stanley's Amazon search volume surged 156% while Yeti declined. Sellers who spotted this signal early shifted inventory before the viral wave peaked.
Competitor Tracking
See who's gaining mindshare and who's losing it
"Via TrendsMCP, show 12-month Google Search and Reddit growth for Linear, Jira, and Asana"
Linear
+72%
Asana
+4%
Jira
-9%
Insight: Linear is pulling away from incumbents on both search and developer discussion — momentum that compounds long before it shows up in market-share reports.

From idea to insight in 30 seconds

Whether you're doing market research, tracking competitors, or finding content ideas — the workflow is the same.

Step 1
Get your free API key
Create an account and get a key instantly. No credit card required. 100 requests/month free.
Step 2
Paste the config snippet
Add the JSON config to Claude, Cursor, ChatGPT, or any MCP-compatible client. One line of config.
Step 3
Ask your AI anything
Query any keyword across any source. Get normalized time series, growth metrics, and live trending feeds.
Try any of these workflows right now
Free tier includes 100 requests/month. No credit card. One connection covers every use case below.
Get your free API key

242 use cases across 10 categories

Browse by workflow, client, or the tool you want to replace.

Research & Analysis

AI investment idea generation with live trend data
The best investment ideas come before consensus. Consumer search demand, Reddit discussion volume, web traffic growth, and news sentiment acceleration are the earliest behavioral signals that something is changing - before it shows up in earnings, analyst upgrades, or price action. Trends MCP gives your AI live access to all of them.
AI investment research with live alternative data
Consumer search trends, website traffic growth, news sentiment, Wikipedia page view spikes, and Reddit discussion volume are leading indicators of business performance. Trends MCP delivers all of them to your AI in real time - no data vendor contracts, no CSV exports.
AI product development trends from public demand data
Product teams need fast reads on whether a problem space is heating up across search, video, communities, and software adoption. Trends MCP pulls those signals into one MCP surface so PMs and engineers reason from the same numbers.
AI trend research in real time
Trend research used to mean hours of manual Google, Reddit, and social browsing. With Trends MCP connected to your AI assistant, you ask a single question and get a structured, multi-platform answer in seconds. Your AI becomes a real-time trend researcher.
AI-powered brand monitoring with live signals
Track how your brand is growing - or where it is losing momentum. Trends MCP gives your AI live brand search volume, Reddit community discussion, news sentiment, and web traffic data so you can monitor brand health across every channel in one conversation.
AI-powered competitor tracking with live signals
Ask your AI to benchmark competitors instead of doing it manually. Trends MCP gives your AI live web traffic estimates, brand search volume trends, news sentiment, and social momentum data for any competitor - without logging into SimilarWeb, SEMrush, or Google Trends separately.
AI-powered market research with live trend data
Stop copy-pasting from Google Trends into your AI. Connect Trends MCP and your AI assistant can pull consumer demand signals, cross-platform trend momentum, and competitive intelligence directly - across Google, TikTok, YouTube, Reddit, Amazon, Wikipedia, and news in one session.
Alternative data for equity research via MCP
Consumer search interest, web traffic growth, and news sentiment are leading indicators that show up in company fundamentals weeks later. Trends MCP delivers all of them to your AI in real time - so you can build a richer view of any company before the numbers hit the filing.
Alternative data for financial research, via AI
Most financial research platforms are built around structured financial data - prices, fundamentals, filings. Trends MCP adds the behavioral layer your AI is missing: consumer search demand, social attention, web traffic, and app usage signals across 25+ sources, all queryable in natural language from Claude, Cursor, or any MCP-compatible client.
Alternative data for hedge funds via MCP
Hedge funds pay six figures for alternative data vendor contracts. Trends MCP gives your AI the same consumer-facing signals - search demand, web traffic, news sentiment, Reddit activity, Wikipedia spikes - in a single MCP connection. No contracts, no CSV exports, no data engineering.
Alternative data for private equity due diligence via MCP
Private equity due diligence relies heavily on management presentations and historical financials. Trends MCP adds the independent behavioral layer: web traffic growth, consumer search demand, brand sentiment, and category momentum - signals that show what the market actually thinks of a target, not just what management says.
B2B market research with live trend data via MCP
B2B market research requires signals that move faster than surveys and annual reports. Trends MCP gives your AI live data from search, LinkedIn, news, Reddit, and web traffic to validate markets, track competitors, and size demand in real time.
Build sales intelligence briefs from live trend endpoints
Revenue teams can ground account plans in measurable demand shifts by pulling Google Search, Amazon, news volume, and news sentiment series directly into Claude, ChatGPT, Cursor, or REST jobs.
Company announcement trend signals for analysts
Investor relations, communications, and equity research workflows often need the same question answered fast: how did attention move across search, news, Wikipedia, and social after a release? Trends MCP routes those checks through MCP tools or REST with one key.
Competitive intelligence via MCP
Your competitors are signaling their trajectory through web traffic, search demand, app downloads, and social momentum - all publicly visible data that most teams are too slow to track. Trends MCP gives your AI live access to all of it, so you can get a real-time read on any competitor's growth without spreadsheets or manual research.
Competitor analysis with live trend data
Traditional competitor analysis means pulling reports from five different tools and reconciling the numbers yourself. Trends MCP lets your AI run multi-source competitor analysis in a single query - comparing search interest, social attention, web traffic, and app downloads across your competitive set, all normalized for direct comparison.
Consumer demand signals for investment research via MCP
Consumer search and purchase intent data is one of the most reliable leading indicators of business revenue. Trends MCP gives your AI live access to Google Search interest, Amazon product search volume, and Google Shopping demand - so you can track what consumers are actually doing, not just what companies are saying.
Consumer insights with AI via live trend data
Consumer research used to mean expensive surveys and slow panels. Trends MCP gives your AI instant access to the largest, most current consumer signal dataset available: what people are actually searching for, watching, buying, and talking about - across Google, Amazon, TikTok, Reddit, YouTube, and 7 more sources.
Cross-platform trend analysis for AI assistants
Compare the same keyword across Google, TikTok, YouTube, Amazon, and more in one query. Spot platform-specific lead-lag patterns that single-source tools miss entirely.
Fashion trend data for AI assistants
Fashion moves on social signals, search demand, and platform-specific momentum that no single tool captures cleanly. Trends MCP gives your AI live fashion trend data from TikTok, Google Search, Google Shopping, Pinterest, YouTube, and Reddit in one query - so you can see where a style is breaking, how fast it is growing, and which platforms are leading the move.
Gaming trend data via MCP
Track concurrent player counts, game momentum, and rising titles across Steam, YouTube, TikTok, and Reddit - all from your AI assistant without manual platform checks.
Investment watchlist trend monitoring via MCP
Keep a live pulse on every name in your coverage universe. Trends MCP lets your AI pull search demand growth, web traffic trajectory, news sentiment, and Reddit activity for your entire watchlist in one session - so you always know which names are seeing unusual signal activity before they move.
Investor relations trend monitoring via MCP
IR and comms teams can pair news volume, sentiment, and search demand in the same AI workspace where talking points are drafted, with exports that audit teams can replay.
Market research for startups with AI
Startups can not afford expensive market research tools. Trends MCP gives your AI assistant the same underlying signal data that professional researchers use - search volume, social momentum, competitor brand tracking - for a fraction of the cost. Validate your idea before you build it.
Multi-source trend validation without a dozen logins
Analysts and strategists treat a trend as serious when search, social, commerce, and sometimes developer signals agree. Trends MCP returns normalized series and live rankings from one endpoint so research drafts cite aligned evidence instead of a single chart from a single vendor.
Niche research powered by live cross-platform trend data
Finding a profitable niche used to mean hours of manual Google Trends searches and guesswork. Trends MCP gives your AI live growth signals across Google, TikTok, Amazon, Reddit, YouTube, and 9 more sources simultaneously - so you can discover which niches are accelerating before the crowd arrives.
Online market research platform via MCP
Traditional online market research platforms give you surveys and static reports. Trends MCP gives your AI live behavioral data - what consumers are actually searching for, buying, discussing, and watching right now - so you can answer market research questions in minutes instead of weeks.
Pitch deck trend data founders can pull inside an AI chat
Investors expect evidence of demand, not only a story. Trends MCP lets an assistant retrieve live search interest, news volume, category momentum, and cross-platform signals so slides stay specific and easy to update before each meeting.
Pre-earnings alternative data signals via MCP
Earnings surprises are rarely surprises to the data. Consumer search demand, web traffic growth, and news sentiment shifts often telegraph the quarter 4-8 weeks before the report. Trends MCP gives your AI all of those signals in a single query - so you can walk into earnings with a view built on live data.
Product market intelligence from demand, attention, and news signals
Product and strategy teams build conviction faster when search demand, community scale, encyclopedic attention, and news intensity can be queried as structured series in one place. Trends MCP supplies those channels to assistants and to backend jobs through MCP and REST.
Retail and CPG market research via MCP
For consumer goods, search and shopping intent data is the most direct window into what shoppers are actually considering buying. Trends MCP gives your AI live Amazon search volume, Google Shopping demand, and Google Search brand interest for any product or category - so you can track shelf momentum, spot emerging trends, and benchmark competitors before the syndicated data arrives.
Run an LLM-native trend research workflow with grounded pulls
Researchers treat the model as an analyst interface while Trends MCP supplies dated series, growth math, and live leaderboards that replace guesswork about “what is trending.”
Seasonal trend analysis for AI assistants
Every product, keyword, and category has a seasonal rhythm. Trends MCP gives your AI 5 years of weekly data to map those patterns precisely - so you plan around evidence, not gut feeling.
Sector rotation signals via MCP
Capital rotates into sectors where consumer and institutional attention is building - and out of sectors where it is fading. Trends MCP lets your AI track search demand, web traffic growth, and news sentiment momentum across sectors in real time, so you can identify rotation signals before they show up in price.
Trend data API for academic research
Academic research using internet trend data faces two persistent problems: reproducibility and multi-platform coverage. Google Trends returns relative values that change based on query context, and pytrends breaks without warning. Trends MCP provides structured, API-based access to normalized trend data from Google, Reddit, YouTube, Wikipedia, news, and more - with consistent responses, absolute volume estimates, and data quality scores suitable for peer-reviewed research.
Trend data for data scientists
Data scientists working with consumer behavior, market signals, or social media research need clean, normalized, multi-source trend data - not a browser extension or a fragile scraper. Trends MCP delivers structured time series from Google, TikTok, Reddit, Amazon, Wikipedia, and 10 more sources via MCP or HTTP, ready for notebooks, pipelines, and AI-agent workflows.
Trend forecasting with AI
The best trend forecasters catch signals before they become obvious. Trends MCP gives your AI the cross-platform data to do exactly that: detect a keyword accelerating on TikTok before it reaches Google Search, spot a Reddit discussion gaining momentum before it hits mainstream news, and identify product demand building on Amazon before it shows up in industry reports.
Venture capital market research via MCP
Consumer search demand, web traffic growth, and social discussion volume are the most honest signals of whether a market is real and growing. Trends MCP gives your AI live access to all of them - so you can validate a market thesis, benchmark a portfolio company against its category, or track whether consumer interest in a space is accelerating or plateauing.

Content & Marketing

ABM trend intelligence inside MCP workflows
Account based marketing programs need timely proof that a target account’s world is heating up. Trends MCP supplies Google, news, YouTube, Amazon, and Wikipedia style demand layers so research pods can brief reps without hopping across disconnected dashboards.
AI tools for content creators with live trend data
Most AI tools for content creators are guessing - their training data is months out of date. Trends MCP gives your AI live trend data across TikTok, YouTube, Reddit, and Google right now, so when you ask "what should I create this week?" you get an answer backed by actual real-time signal, not stale patterns.
AI-powered content strategy with live trend data
Ask your AI which content topics are growing right now - before they peak. Trends MCP connects your AI to live TikTok, YouTube, Google, and Reddit signals so you can build content calendars, validate video ideas, and spot rising keywords with real data instead of guesswork.
AI-powered SEO keyword research with live search trends
Let your AI find the keywords worth targeting - before your competitors do. Trends MCP gives your AI live Google Search demand data: rising queries, volume trajectory, period-over-period growth, and cross-platform signals that confirm whether search intent is accelerating or fading.
An MCP trend stack product and growth teams can standardize
Product managers and growth leads search for one place to read demand, attention, and distribution signals before roadmaps lock. Trends MCP stacks search, video, commerce, developer, and news momentum behind a single MCP and REST surface for the AI tools teams already adopted.
Answer engine optimization data tied to live demand curves
SEO and content teams now track traditional rankings alongside AI summaries that cite a small set of sources. Trends MCP gives those teams structured demand series across Google surfaces plus news signals so briefs explain which topics are rising before the SERP layout settles.
B2B SaaS content demand intelligence via MCP
Demand gen and content teams often search for ways to align pillar pages with how buyers actually phrase problems across search, news, GitHub, and npm. Trends MCP lets an assistant pull those demand curves through one MCP connection instead of stitching exports.
Build creator briefs with AI and live trend pulls
Content leads and UGC managers search for ways to brief creators without sending five links and a screenshot dump. Trends MCP lets an assistant pull TikTok hashtag curves, YouTube search interest, Google Shopping demand, and breaking leaderboards so hooks, formats, and proof points arrive in one thread.
Build editorial calendars with live trend pulls inside AI
Editors and SEO leads often search for ways to align pitch meetings with demand curves instead of static three-month guesses. Trends MCP lets assistants fetch Google Search history, Google News interest, Wikipedia attention, and breakout leaderboards in one session.
Build multichannel campaign briefs inside an MCP client
Paid, organic, creator, and PR leads often argue from different screenshots. Trends MCP lets an assistant pull Google Search, YouTube, TikTok, Amazon, news volume, and live leaderboards through one tool surface so the brief cites aligned windows.
BuzzSumo alternative for AI assistants
BuzzSumo finds what content is getting shared and discussed. Trends MCP does the same thing - and more - inside your AI assistant: trending topics across Google, TikTok, Reddit, YouTube, and News, delivered as structured data your AI can reason over and act on immediately.
Community trend signals for moderators in MCP
Community managers care about velocity on Reddit, spikes on YouTube and TikTok, and whether Wikipedia traffic implies explainers should be updated. Trends MCP exposes those signals through MCP and REST so moderators can brief leadership with numbers instead of screenshots.
Content creation on steroids
Turn up the volume without turning off your audience. Trends MCP feeds your AI live signals from TikTok, YouTube, Google, Reddit, and more, so every script, post, and campaign rides real demand instead of yesterday's guesses. Same workflow, far more hits per hour of work.
Content creation tools with live trend data
The best content creation tool is one that knows what your audience cares about today - not six months ago. Trends MCP connects your AI to live trend data across TikTok, YouTube, Google, Reddit, and more, turning your AI assistant into a real-time content strategist that always knows what is worth creating next.
Creative trend testing for paid social inside AI clients
Media buyers and growth marketers often search for ways to ground hooks and angles in live demand before spend ships. Trends MCP lets an assistant pull Google Search curves, TikTok hashtag momentum, YouTube search interest, and live leaderboards through one MCP connection.
Creator economy trend intelligence through MCP
Brand and creator teams search for faster ways to validate topics, formats, and merch demand. Trends MCP exposes TikTok hashtag momentum, YouTube search interest, Google demand curves, and live leaderboards so assistants can assemble evidence without manual exports.
Creator monetization signals across search, video, and commerce
Audiences vote with clips, searches, and carts. Trends MCP lets assistants compare TikTok hashtag curves, YouTube search interest, Google demand, and Amazon product search trends so sponsorship decks cite aligned evidence.
Cross-platform trend data inside creator workflows
People who plan short video, newsletters, and SEO lanes often search for ways to ground hooks and titles in live demand instead of gut feel. Trends MCP gives an MCP client and a REST API one shared contract for Google Search, YouTube search volume, TikTok hashtag momentum, live leaderboards, and news mention intensity.
Culture trend APIs for books, movies, and GitHub signals
Creators and newsletter editors often hunt separate tabs for IMDb chatter, book lists, and GitHub release buzz. Trends MCP exposes those leaderboards plus Google Search, YouTube, TikTok, Wikipedia, and news feeds so one assistant thread can compare breakout titles without opening five rank trackers.
Customer success playbooks with search, news, and Reddit trends in MCP
Renewals hinge on early warnings. Trends MCP lets CS and support leaders chart branded search stress, news tone, Reddit community scale, and headline momentum so playbooks trigger before tickets spike.
Demand gen trend data inside MCP clients
Pipeline teams often search for ways to brief campaigns without opening ten tabs. Trends MCP returns normalized interest, growth, and live leaderboards so an assistant inside Claude, Cursor, or VS Code can answer demand questions with structured JSON instead of screenshots.
Digital marketing research through an MCP connection
Campaign and growth teams run better briefs when demand, buzz, and news intensity line up. Trends MCP exposes search, social, commerce, and news signals to AI assistants so planners can ground creative and spend decisions in live trend series instead of stale exports.
Drift monitoring for SEO with live trend feeds
Search demand moves before rankings and traffic do. Trends MCP gives marketing teams a repeatable way to watch keyword momentum, social spikes, and commerce signals inside the same AI workflow.
Employer brand trend intelligence talent teams can query from AI
Candidates read search results and social clips before they read your careers page. Trends MCP gives recruiters and people leaders live branded search curves, community signals, and news tone so messaging matches how the market already talks about the company.
Enterprise trend intelligence inside approved AI tools
Security and procurement teams want governed access to external signals. Trends MCP delivers normalized trend series and live leaderboards through one Bearer token, one MCP endpoint, and a single REST POST shape that fits vendor review templates.
Entity SEO trend signals an assistant can verify
Entity-first SEO treats brands, people, and products as objects that should stay consistent across the web. Trends MCP adds time: Wikipedia page views, Google Search and Google News interest, and news sentiment windows that show whether an entity is attracting attention or slipping.
Event marketing trend signals for AI stacks
Field marketers search for ways to sense demand before badges print. Trends MCP adds Google, YouTube, TikTok, news, and live leaderboards so assistants can quantify buzz around a city, topic, or keynote without manual scraping projects.
Fractional CMO trend briefs without another dashboard login
Fractional leaders win when every client hour produces decisions, not exports. Trends MCP feeds Claude, ChatGPT, or Cursor with structured demand curves, growth math, and live leaderboards so weekly reviews cite numbers everyone trusts.
Generative engine optimization backed by live demand curves
Generative answers favor topics that look active and well sourced. Trends MCP supplies time-stamped momentum across search, video, commerce, and social feeds so GEO programs prioritize entities and angles that are rising, then support claims with fresh data pulls.
Google Sheets dashboards from Trends MCP pulls
Sheets stays the default place for cross-team numbers. Trends MCP returns dated JSON for growth and history so a small script can append rows without rebuilding scrapers each quarter.
Growth experiments grounded in live trend hypotheses
Experiment briefs go wrong when the hypothesis is only a hunch. Trends MCP lets growth teams state an assumption in numbers first, then ship landing variants, creative hooks, or outbound angles that match demand direction on Google, YouTube, TikTok, and news mentions.
Growth marketing signals pulled through MCP and REST
Growth teams validate angles faster when demand curves, social spikes, and commerce interest arrive in the same assistant thread instead of scattered exports.
HubSpot objects enriched with Trends MCP signals
CRM timelines stay believable when external demand curves arrive as structured fields. Trends MCP outputs dated JSON that a middleware job can map into companies, deals, or custom objects.
Influencer and creator trend research with AI
Content creators who ride trends early get the most reach. Trends MCP gives your AI live trend data across TikTok, YouTube, Reddit, and Google - so you can identify rising topics before they peak, find the cross-platform sweet spot, and build content strategy around real data instead of gut feeling.
International SEO demand signals in MCP workflows
Localization leads can compare how the same product vocabulary trends on Google Search, Google Shopping, and YouTube without rebuilding a custom data warehouse.
Keyword cluster validation with live search and shopping demand
Topic clusters only pay off when every term in the group still shares intent and demand. Trends MCP lets an assistant compare Google Search and Google Shopping trajectories for each variant so clusters stay honest before writers ship pages.
Local SEO trend signals an AI stack can verify on demand
Location pages and Google Business Profiles need proof that demand is rising in a city or region, not only that a keyword is popular globally. Trends MCP gives assistants structured series and growth checks so briefs cite numbers instead of screenshots.
Marketing agency trend research with live data via MCP
Give every client brief a live data layer. Trends MCP connects your AI assistant to real-time search, social, and commerce signals so agencies can deliver faster, sharper research without adding headcount.
MCP marketing workflows with live cross-platform trends
Marketers often search for ways to pull demand signals into Claude, ChatGPT, or Cursor without exporting CSVs from five tabs. Trends MCP answers that workflow with one MCP connection and one REST shape across Google Search, YouTube, TikTok, Amazon, news volume, and live leaderboards.
Newsjacking workflow with live trend data inside the AI stack
Newsjacking depends on timing, relevance, and proof that public attention is moving. Trends MCP lets an assistant read news volume, sentiment, search demand, and live headlines in one place so teams can decide when to pitch, publish, or stay quiet.
Newsletter growth research with trend MCP tools
Editors type searches that combine newsletter growth, content ideas, and SEO data. Trends MCP gives assistants Google, YouTube, news, Wikipedia, and live chart feeds so issue planning can cite structured curves instead of guesswork.
No code trend dashboards from the Trends MCP API
Operators who live in Retool, Bubble, or Make still need trustworthy trend JSON. POST the same body the docs show to https://api.trendsmcp.ai/api and map fields into tables without running a scraper or juggling one key per vendor.
Notion trend databases synced from Trends MCP
Notion databases handle briefs, owners, and status fields well. Trends MCP supplies repeatable JSON so a worker can upsert properties without pasting screenshots from five trend sites.
Outbound research with live trend data in MCP
Account executives need a fast read on whether a target category is warming on Google, Amazon, or YouTube before they claim momentum in cold outreach. Trends MCP returns those curves through the same MCP and REST interface engineers already use for product research.
Paid media planning with live trend data inside the AI stack
Media buyers and growth marketers often plan spend from static keyword lists and last quarter's benchmarks. Trends MCP lets an AI assistant pull live demand curves from Google Search, YouTube, TikTok, Amazon, and news volume so bids, creatives, and budget shifts follow what is heating up now.
Podcast growth signals from search, audio charts, and news mentions
Shows grow when audiences search for topics, when audio charts move, and when news volume spikes around guests or themes. Trends MCP lets marketing teams pull Spotify chart feeds plus Google and news signals so planning stays evidence-led instead of guess-led.
Post Slack alerts from Trends MCP REST responses
Operations and growth teams often want the same weekly numbers in Slack without opening another dashboard. Trends MCP exposes get_trends, get_growth, and get_top_trends through a single POST contract so a small relay service can format blocks when thresholds trip.
PR and crisis monitoring with live trend signals
Comms teams search for ways to watch spikes in mentions, sentiment, and related queries the moment a story breaks. Trends MCP pairs news volume and sentiment with Google Search and live news leaderboards so assistants can summarize velocity while humans handle judgment calls.
Product launch research with Google, news, and GitHub trends in MCP
Launch teams run out of time before they run out of opinions. Trends MCP gives assistants dated demand curves, headline velocity, and developer attention signals so positioning drafts cite tools instead of scraps from ten tabs.
Product marketing trend pulls inside MCP chats
Positioning and launch teams need the same chart a buyer would see in Google Trends, plus the social and commerce signals that explain why demand moved. Trends MCP exposes those series through MCP and a single REST shape so an assistant can answer without a dozen browser tabs.
Product-led growth signals from live trend data
Growth and product teams query how demand, habit, and buzz move before funnel dashboards catch up. Trends MCP gives assistants npm download curves, app chart feeds, web traffic leaders, and cross-platform search interest so PLG reviews start with external demand instead of only internal activation metrics.
Programmatic SEO built on live trend signals
Large page sets fail when every URL chases the same static keyword list. Trends MCP feeds an AI assistant or a script with live demand curves, growth windows, and cross-platform checks so new pages target queries that are rising, not cooling.
Retail media trend research inside MCP clients
Retail media teams often look for ways to connect category demand, commerce search, and news spikes into the same AI thread. Trends MCP supplies normalized trend pulls and live leaderboards so planners can brief retail networks without rebuilding a custom data stack.
Run global SEO trend research without juggling ten dashboards
SEO leads can compare Google Search, Google News, Google Shopping, and YouTube demand curves from one MCP connection so localized content plans share the same evidence pack.
Run Zapier automations on live trend signals
Zapier moves fast when each step has predictable JSON. Trends MCP exposes POST endpoints for trend history and growth math so Zaps can notify account teams, append rows, or open tasks when demand shifts.
SaaS GTM trend research inside an AI assistant
Go-to-market teams run faster when demand signals sit next to copy, decks, and outbound drafts. Trends MCP connects Claude, Cursor, ChatGPT, and other MCP clients to search, news, Reddit, and web traffic trends so positioning and pipeline bets trace back to observable interest.
SEO agency trend reporting inside MCP clients
Agencies can ground monthly retainers in live demand curves, chart growth windows, and pull leaderboards without opening five vendor tabs.
SEO demand stack with trend MCP beside search connectors
Roundups for SEO MCP servers emphasize Search Console, analytics, and rank trackers. Those answer site-centric questions. Trends MCP adds market-centric demand series so assistants can compare trajectory across keywords and platforms before writers touch the CMS.
SEO MCP stacks gain live trend pulls from Trends MCP
People searching for SEO MCP servers often land on directories that list rank tracking and audits first. Trends MCP fills a different slot: normalized demand curves across Google Search, Google News, Google Shopping, YouTube, TikTok, Amazon, news volume, and news sentiment that an assistant can fetch with one auth model.
Short video hook trends creators can pull through MCP
Hooks fail when they guess. Trends MCP lets a creator stack TikTok hashtag momentum, YouTube search interest, and live ranked feeds so an AI assistant proposes angles grounded in what audiences already chase.
Short-form video trends inside the AI workflow
Creators and channel strategists lose hours jumping between TikTok analytics, YouTube Studio, and search tools. Trends MCP lets an assistant pull TikTok hashtag momentum, YouTube search demand, Google Search interest, and Reddit discussion volume in one session so hooks, titles, and posting bets follow data that updates continuously.
Social media trends for AI assistants
Social media trends move fast. Checking TikTok, Reddit, YouTube, and Twitter separately means you're always one step behind. Trends MCP consolidates live social media trend data from all major platforms into a single MCP connection - so your AI can tell you what's trending right now, across every platform, in one message.
Substack editorial research wired to Trends MCP
Newsletter writers win when ledes follow real attention shifts. Trends MCP returns dated search, news, and social series so each beat links to verifiable pulls and timestamps.
Sync Airtable bases from Trends MCP REST pulls
Editorial calendars, launch trackers, and partner reporting grids benefit from dated rows that refresh on a schedule. Trends MCP supplies repeatable JSON for get_trends and get_growth so a script can upsert Airtable records without manual CSV exports.
Trend data for growth hackers
Growth hacking lives and dies on timing. A channel that is wide open this quarter closes in six months. A trend that is breaking on TikTok reaches Google Search two to four weeks later - by which time the arbitrage is gone. Trends MCP gives your AI assistant live signals from TikTok, Reddit, Google Search, Amazon, and 11 more sources, so you can find the signal before the crowd does and build around it while the window is still open.
Trending searches, live in your AI
What are people actually searching for right now? Trends MCP answers that question across every major search and social platform - Google, YouTube, Amazon, TikTok, Reddit, and more - directly in your AI assistant. Ask in natural language and get structured, ranked trend data back in seconds.
Trending topics tool for journalists
The best stories follow the momentum. Trends MCP gives journalists and newsrooms a live window into what is gaining traction across Google Search, Reddit, TikTok, YouTube, and News - before it becomes the obvious headline. Spot the story, validate the interest, and report with data.
UGC and creator trend signals an AI can query
Short-form creators win when they ride rising topics early. Trends MCP feeds TikTok hashtag volume, YouTube search interest, Google Search demand, and live trending lists into AI tools so scripts, hooks, and posting plans follow where attention is moving.
UGC platform trend monitoring for creator and social teams
Short-form performance depends on hashtags, sounds, and memes that move faster than quarterly plans. Trends MCP combines TikTok hashtag volume, YouTube search interest, live TikTok leaderboards, and X trends so editors can brief creators with numbers instead of screenshots alone.
Viral trend detection for AI agents
The best time to act on a trend is before it peaks. Trends MCP gives your AI early-warning signals from TikTok, Reddit, and Wikipedia - platforms where trends emerge before they hit Google Search - so you can spot and act on what is going viral 2-4 weeks ahead of mainstream.
YouTube video ideas backed by live trend data
The best YouTube video ideas are not random - they are topics with rising search volume, growing social discussion, and momentum building across platforms. Trends MCP gives your AI live YouTube search volume, TikTok momentum, Reddit community interest, and Google Search demand so you can find ideas that are growing before you spend a week making them.

Product & Commerce

Affiliate marketing trend research with live cross-platform data
Enter niches 4-8 weeks before CPCs rise and content floods in. Trends MCP gives your AI agent live demand signals from Google, Amazon, TikTok, YouTube, and 12 more sources so you move first.
AI-powered e-commerce product research with live demand data
Find products with growing demand before everyone else does. Trends MCP gives your AI live Amazon search volume, Google Shopping purchase intent, TikTok viral signals, and Google Search interest - the four signals that predict whether a product category is worth entering.
Amazon FBA trend research inside an AI workflow
Private-label and wholesale sellers need demand proof before sourcing. Trends MCP gives any AI assistant live Amazon search interest, Google Shopping comparison demand, TikTok momentum, and Google Search awareness so sourcing decisions rest on recent curves instead of guesses.
App growth intelligence via MCP
App store rankings tell you where an app is today. Trends MCP tells you where it is going. Track Android install velocity, web traffic growth, Google Search brand interest, and TikTok mention momentum for any app - so you can spot breakout apps early, benchmark competitors, and monitor your own growth trajectory from your AI assistant.
Category expansion trend research for commerce teams
Merchants and marketplace leads often search for ways to validate new aisles before POs and listing plans lock. Trends MCP lets commerce teams compare Google, Shopping, Amazon, and social curves inside the same AI session.
ChatGPT e-commerce research wired to live trend pulls
Connectors let ChatGPT call tools instead of guessing demand. Trends MCP adds Amazon product search curves, Google Shopping interest, short video hashtag momentum, and live best seller feeds so listing and launch questions stay tied to numbers.
Commerce demand radar through MCP and REST
Operators who run Amazon, Shopify, or marketplace SKUs often search for product demand API, Amazon trend data for FBA, or Google Shopping interest MCP. Trends MCP exposes Amazon product search interest, Google Shopping series, TikTok hashtag curves, and Google Search demand inside the same tool calls an assistant already understands.
Developer ecosystem trends for AI agents
npm weekly downloads, mobile app install growth, and web traffic trends are the clearest signals of developer and user adoption. Trends MCP delivers all of them to your AI in one query - useful for technology due diligence, framework selection, and developer market research.
Dropshipping trend research with live product demand data
Spot rising products 2-4 weeks before they peak. Trends MCP gives your AI agent live signals from Amazon, TikTok, Google Shopping, and 12 more platforms - in real time, no scraping required.
DTC founder trend research through one MCP connection
Founders often search for Amazon demand signals, TikTok proof, and Google Shopping intent without standing up five vendor contracts. Trends MCP returns those checks as JSON through the same MCP tools a copywriter or engineer already enabled.
Ecommerce MCP demand research through trend JSON
Merchants read explainers on Model Context Protocol because they want AI that can act on catalogs, shipping, and storefronts. Trends MCP adds the demand side: Amazon search interest, shopping verticals on Google, short video hashtags, and live retail leaderboards returned as JSON the same assistant can cite while it drafts listings.
Match Amazon product demand with Google Shopping interest
Marketplaces and search surfaces tell different halves of the same story. Trends MCP exposes Amazon product search trends and Google Shopping search trends with the same growth presets so analysts can see divergence before inventory and ad spend lock in.
Merchandising trend research inside an AI assistant
Buying and planning teams need the same question answered from several angles at once: is demand rising on marketplaces, in shopping search, and in short video at the same time. Trends MCP returns structured series and live leaderboards so merchandising reviews stay tied to numbers instead of screenshots.
Product launch research with AI
Is the market ready for your product? Trends MCP gives your AI live demand validation data: search interest in your category, growth momentum on Amazon and TikTok, competitor brand awareness, and whether the timing is right - all before you commit to a launch.
Shopify store research powered by live demand signals
Store owners pick products from supplier catalogs and hope demand shows up. Trends MCP lets an AI assistant read Amazon search interest, Google Shopping intent, TikTok hashtag momentum, and Google Search curiosity in one place so new collections and ad hooks track what shoppers are already moving toward.
Social commerce trend research for listings and merch
Short video and marketplace demand often move before site search catches up. Trends MCP lets merchandising and growth teams read TikTok momentum next to Amazon product search interest and Google Shopping signals in one place.
Trend data for product managers
Great product decisions are grounded in real demand signals, not internal opinions. Trends MCP gives PMs live access to what users are searching for, which features are getting Reddit traction, which competitor products are growing in Google interest - all via a single AI query, no data analyst required.
Tune listings using live demand signals
Titles and bullets perform better when they match the words shoppers already type and say. Trends MCP lets an AI assistant compare Amazon product search, Google Shopping, Google Search, and short-form social signals so listing copy tracks demand instead of guesswork.

PR & Social

AI-powered social listening via MCP
Traditional social listening tools are dashboards you have to check manually. Trends MCP brings social monitoring into your AI assistant: ask Claude or Cursor to track brand mentions, measure sentiment trends, or identify emerging conversations - and get structured answers from Reddit, Twitter, TikTok, YouTube, and News in one call.
Brand crisis monitoring via MCP
A reputational crisis moves faster than any manual monitoring workflow. Trends MCP gives your AI live news sentiment, Reddit discussion spikes, Twitter/X volume surges, and Wikipedia page view anomalies for any brand - so your communications team has real-time signal before a story goes mainstream.
Brand tracking tools via MCP
Most brand tracking tools lock you into a dashboard and charge enterprise rates for data you check once a week. Trends MCP gives your AI live brand signals - search volume, web traffic, news sentiment, Reddit and social discussion - on demand, in conversation, without a separate tool to log into.
Brandwatch alternative for AI assistants
Brandwatch is the enterprise standard for social listening - but it costs enterprise money and requires a dedicated team to operate. Trends MCP gives your AI assistant social listening capabilities across Reddit, Twitter, TikTok, YouTube, and News via a single MCP connection, at a fraction of the cost.
Instagram trend data for AI assistants
Instagram doesn't offer a public trends API. Trends MCP provides Instagram content and hashtag trend data through its managed data pipeline - accessible in your AI assistant alongside TikTok, YouTube, Reddit, and 10 more platforms. One connection, all social platforms, instant results.
Media monitoring for AI assistants
Media monitoring platforms like Meltwater and Cision charge enterprise prices for dashboards your team logs into once a week. Trends MCP brings media monitoring into your AI workflow - track news volume, measure sentiment, and surface social media signals across every major channel through a single MCP connection your AI queries in natural language.
PR trend monitoring with AI
PR teams need to know when a story is building before it breaks. Trends MCP gives your AI live monitoring across News sentiment and volume, Reddit discussion trends, Twitter mention velocity, and Google Search momentum - so you can see a narrative forming and respond before it peaks.
Reputation management for AI assistants
Reputation risks move faster than weekly reports. Trends MCP monitors brand sentiment and social media volume across news, Reddit, TikTok, YouTube, and Twitter in real time - so your AI can detect a negative trend building before it becomes a crisis, without you having to log into a separate monitoring dashboard.
Social listening tools for AI assistants
Enterprise social listening platforms cost $15,000+ per year and require dedicated analysts to operate. Trends MCP brings social listening into your AI assistant for a fraction of the cost - monitor brand conversations, track topic velocity, and surface emerging signals across Reddit, TikTok, YouTube, Twitter, and News through a single MCP connection.

MCP Servers

MCP servers: what they are and how to use them
An MCP server connects your AI assistant to external tools and live data. Instead of copying information between apps, your AI calls the server directly and gets structured results back in your conversation. Trends MCP is an MCP server for live trend data across Google, TikTok, YouTube, Reddit, Amazon, and 10+ more sources.
Model Context Protocol (MCP) explained
The Model Context Protocol is an open standard that lets AI assistants connect to external tools, databases, and live data sources. Instead of being limited to their training data, AI tools that support MCP can call external servers mid-conversation to retrieve current information, run queries, and take actions. Trends MCP is one such server - giving any MCP-compatible AI instant access to live trend data.
Trends MCP for ChatGPT
OpenAI has adopted the Model Context Protocol standard. Connect Trends MCP to ChatGPT and your conversations gain access to live trend data across Google, TikTok, YouTube, Reddit, Amazon, and 8 more sources - giving ChatGPT current data beyond its training cutoff.
Trends MCP for Claude
Give Claude live trend data across Google, TikTok, YouTube, Reddit, Amazon, and 8 more sources. Works with Claude Desktop and Claude.ai. Paste one config snippet and your conversations get real-time trend data instantly.
Trends MCP for Cline
Give Cline live trend data across Google, TikTok, YouTube, Reddit, Amazon, npm, and 8 more sources. Cline's autonomous agent mode can call Trends MCP tools as part of multi-step research tasks - querying, comparing, and reporting on trends without manual intervention.
Trends MCP for Cursor
Give Cursor live trend data across Google, TikTok, YouTube, Reddit, and 9 more sources. Click the install button below or paste a one-line config snippet into your MCP settings and start querying trend data inside Cursor immediately.
Trends MCP for GitHub Copilot
GitHub Copilot supports MCP servers via VS Code. Add Trends MCP and Copilot Chat can query live trend data across Google, TikTok, YouTube, Reddit, npm, and more - without leaving your editor.
Trends MCP for OpenAI
OpenAI adopted the Model Context Protocol standard, making Trends MCP compatible with any tool built on the OpenAI API. Connect once and any GPT-4o or o3 powered application gains access to live trend data across Google, TikTok, YouTube, Reddit, Amazon, and 8 more sources.
Trends MCP for Perplexity
Give Perplexity access to live trend data - real search volumes, social momentum, and demand signals from 15+ platforms. Research with current numbers, not stale training data.
Trends MCP for Raycast
Raycast AI supports MCP servers natively. Add Trends MCP and you can query live trend data across Google, TikTok, YouTube, Reddit, Amazon, and more directly from the Raycast command bar - the fastest way to research trends on a Mac.
Trends MCP for VS Code and GitHub Copilot
VS Code supports MCP servers natively. Add Trends MCP and GitHub Copilot can query live trend data across Google, TikTok, YouTube, Reddit, npm, and more - directly inside your editor without switching context.
Trends MCP for Windsurf
Give Windsurf live trend data across Google, TikTok, YouTube, Reddit, Amazon, and 8 more sources. Paste one snippet into your Windsurf MCP config and start querying real-time trend data in your AI sessions immediately.

MCP Clients

Connect Trends MCP to Claude Code in minutes
Developers who ship with Claude Code can attach normalized trend pulls from search, social, commerce, and news sources through one MCP endpoint, without wiring separate vendor APIs.
Obsidian trend notes powered by an MCP-connected assistant
Local markdown vaults reward steady timestamps. Trends MCP feeds those vaults with dated search, news, and feed snapshots so daily notes stay anchored to what the web actually looked like when the entry was written.
Open Claw assistant and MCP trend data
People often type “Open Claw” when they mean OpenClaw, the open personal assistant that bridges chat apps, memory, and tools. Trends MCP fits that stack as a hosted Model Context Protocol server for live search, social, commerce, and news signals.
OpenClaw MCP with live trend data
OpenClaw is a personal assistant stack that can register remote MCP servers under `mcp.servers` and call them from its runtimes. Trends MCP adds Google, YouTube, TikTok, Amazon, Wikipedia, news, npm, Steam, and live leaderboards behind one hosted endpoint, which fits the same pattern people already use with Claude Code and other MCP clients.
TikTok MCP server for Claude, Cursor, and ChatGPT
This page is the TikTok-focused entry point for Trends MCP: connect an MCP client to hosted trend tools, use the REST API with source `tiktok`, and jump to deeper guides without mixing install steps with posting-time strategy.
Trends MCP for Bolt.new
Bolt.new supports custom MCP connectors natively. Add Trends MCP and Bolt's AI agent can pull live trend data from Google, TikTok, YouTube, Reddit, Amazon, and 12 more sources while you build - so your product decisions are grounded in real demand signals, not assumptions.
Trends MCP for Continue.dev
Continue is the leading open-source AI coding assistant, used by hundreds of thousands of developers inside VS Code and JetBrains. Add Trends MCP and Continue's agent mode can query live trend data from Google, TikTok, YouTube, Reddit, npm, and 12 more sources - directly in your editor, without switching context.
Trends MCP for Gemini
Connect Trends MCP to Gemini and get live trend data from Google, YouTube, TikTok, Reddit, Amazon, and 12 more sources inside your AI conversations. One API key, instant setup.
Trends MCP for Lovable
Lovable supports custom MCP servers as personal connectors on all paid plans. Add Trends MCP and Lovable's agent gets live access to Google Search demand, TikTok trends, Amazon purchase intent, Reddit signals, and 12 more sources - so the apps you build are grounded in real consumer data from the first prompt.
Trends MCP for Zed Editor
Connect Trends MCP to Zed and query Google Search, YouTube, Reddit, TikTok, npm, and more without leaving your editor. Live trend data inside Zed's AI assistant, on demand.

APIs & Data Access

Amazon Trends API
Amazon product search demand over time, structured as JSON. Track how consumer interest in any product, category, or brand has moved on Amazon - weekly series, growth percentages, and live bestseller rankings via a single POST endpoint.
App Store Top Charts API
Live iOS App Store and Google Play chart rankings as structured JSON. Pull top free, top paid, and Google Play rankings via a single POST endpoint - no Apple or Google developer credentials required.
Google Images Trends API
Google Images search volume as a normalized time series. Track visual and aesthetic search demand for any topic, style, or product - weekly data, period growth, via a single POST endpoint.
Google News Trends API
Google News search volume as a normalized time series. Track how many people are actively searching for news on any topic, measure coverage momentum over time, and get live Google News headlines - via a single POST endpoint.
Google Play top charts API
Android teams want chart movement without juggling console exports. Trends MCP returns the live Google Play feed as JSON from one POST call.
Google Shopping Trends API
Google Shopping search volume as a normalized time series. Track purchase intent for any product or category over time, measure demand growth across periods, via a single POST endpoint - no Google API credentials needed.
IMDb MOVIEmeter API
Entertainment teams watch IMDb popularity because it clusters with trailers and press cycles. Trends MCP returns the MOVIEmeter leaderboard as JSON for agents and dashboards.
Keyword trend data for AI assistants
Ask your AI whether a keyword is growing or declining - and get the answer from 25+ sources simultaneously. Trends MCP delivers keyword search volume history, growth rates, and cross-platform momentum signals structured for AI agents. Google, YouTube, Reddit, TikTok, Amazon, and more in one call.
Live trend data for AI, via MCP
Traditional data marketplaces make you download files and write pipelines. Trends MCP is a data marketplace built for AI assistants: connect once and your AI queries live trend data from 25+ sources in natural language, with no exports, no ETL, and no separate API keys.
News Sentiment API
News sentiment as a normalized time series. Track whether media coverage of any topic, brand, or company is shifting positive or negative over time - weekly data, period growth, via a single POST endpoint.
News Volume API
News article volume for any keyword as a normalized time series. Track how media coverage of a topic, brand, or event has shifted over time, measure growth across periods, and get live Google News RSS feeds - via a single POST endpoint.
npm Trends API
npm package weekly download counts as a normalized time series. Track any package's adoption trajectory, measure growth across periods, and spot emerging libraries before they dominate - via a single POST endpoint.
Real-time trends API for AI agents
Most trend APIs return yesterday's data. Trends MCP delivers live, real-time trend signals from Google Search, TikTok, Reddit, YouTube, Amazon, and 8 more platforms - structured for AI agents via the Model Context Protocol. One endpoint. No polling. No scraping.
Reddit Trends API
Reddit mention volume over time, as structured JSON. Track how discussion around any topic, brand, or product has grown across Reddit - weekly series, period-over-period growth, and live hot posts via a single POST endpoint.
Search trend API for developers
A search trend API designed from the ground up for AI agents and developers. Unlike fragile web scrapers or Google's unofficial pytrends library, Trends MCP provides a stable, normalized, MCP-native interface to search trend data across Google, YouTube, Amazon, and 9 more sources.
Social media trends API for AI assistants
Managing separate API integrations for TikTok, Reddit, YouTube, and Twitter is painful. Trends MCP consolidates all social media trend signals into a single MCP endpoint: normalized, comparable, and ready for your AI to query in natural language. One connection replaces four integrations.
Spotify Top Podcasts API
Live Spotify top podcast rankings as structured JSON. Pull what's trending on Spotify right now via a single POST endpoint - no Spotify developer credentials required.
Steam Trends API
Steam concurrent player counts over time as a normalized time series. Track any game's player momentum, measure peak-to-current decline or growth, and compare across titles - via a single POST endpoint.
TikTok Trends API
TikTok's official API does not expose hashtag trend volume over time. Trends MCP does. Weekly hashtag interest series, period growth, and live trending hashtags via a single POST endpoint.
Trending topics API for AI assistants
What is trending right now on Google? On TikTok? On Reddit? Trends MCP gives your AI a single API call to answer all three - and nine more sources. Get real-time trending topics, breakout keywords, and rising discussions delivered as structured data your AI can immediately act on.
Try the trends API free
Getting started with Trends MCP is free. Connect your AI assistant and run live trend queries across Google, TikTok, Reddit, YouTube, Amazon, and more - no credit card required to explore. Upgrade for higher volumes and more sources when you are ready.
Wikipedia Trends API
Wikipedia page view volume as a structured time series. Track how many people are looking up any topic on Wikipedia, measure growth over time, and get live trending articles - via a single POST endpoint.
X (Twitter) Trending Topics API
Live X trending topics as structured JSON. Pull what's trending on X right now via a single POST endpoint - no X developer account, no paid X API plan required.
YouTube Trends API
YouTube has no public trends API. Trends MCP gives you structured YouTube search interest data over time via a single POST endpoint. Weekly series, period-over-period growth, and live top searches - no scraping, no quota negotiation.

Alternatives & Comparisons

A Glimpse alternative for AI agents
Glimpse supercharges Google Trends with absolute volume data and channel breakdowns - inside your browser. Trends MCP does the same thing directly inside your AI assistant, across 25+ platforms, without a browser extension or manual lookups.
A modern pytrends alternative for AI agents
pytrends scrapes Google Trends and breaks when Google changes its frontend. Trends MCP is the AI-native replacement: structured trend data via the Model Context Protocol, with absolute volume estimates, multi-platform queries, and no maintenance overhead.
Ahrefs alternative for trend research
Ahrefs excels at historical backlink data and static keyword volumes. Trends MCP focuses on what Ahrefs does not: live trend velocity, cross-platform momentum signals (TikTok, Reddit, Amazon, YouTube), and AI-native delivery via MCP. Use both, or use Trends MCP for the live trend layer.
An Exploding Topics alternative for AI agents
Exploding Topics curates a fixed set of trending topics updated periodically. Trends MCP lets your AI query any keyword, on any platform, in real time - Google, TikTok, YouTube, Reddit, Amazon, Wikipedia, and more. No waiting for a weekly digest.
Free trends API comparison
Most trend data tools offer a 'free tier' that either expires after a trial, requires a credit card, or limits data to the point of uselessness. This page compares what is genuinely free in 2026 - pytrends, SerpApi, Glimpse, Exploding Topics, and Trends MCP - with honest limits, no-credit-card status, and what each free tier actually lets you do.
Google Trends API for AI agents
The official Google Trends site has no public API. Trends MCP fills that gap: structured Google Search trend data delivered to any AI assistant via the Model Context Protocol. Absolute volume estimates, multi-source comparison, 5-year history - all in one clean JSON response.
Meltwater alternative for trend data
Meltwater is a media monitoring and social listening platform built for PR and comms teams. It covers news, social, and editorial content at enterprise scale - and costs $15,000-$35,000 per year under annual contract. If what you need is trend data for your AI assistant, Trends MCP delivers live signals from Google, TikTok, Reddit, Amazon, Wikipedia, and 10 more sources through a single MCP connection, starting free.
Planning around Google’s Trends API alpha and MCP-shaped access
Google announced an official Trends API in alpha with scaled series and geo breakdowns, plus a narrow tester pool. Teams still ship models today; this page clarifies how MCP access fits that reality without overstating parity.
Semrush alternative for AI assistants
Semrush is a powerful SEO tool, but it requires a dashboard, a login, and a four-figure annual subscription. Trends MCP takes a different approach: live trend and keyword data delivered directly to your AI assistant via MCP, without the overhead of a dedicated tool or the friction of manual report pulling.
SerpApi alternative for trend data
SerpApi gives developers structured SERP data through a scraping proxy. For trend research - search volume over time, cross-platform momentum, and growth signals - it covers one slice of the picture and charges per request for the privilege. Trends MCP delivers live trend data from Google, TikTok, YouTube, Reddit, Amazon, and 12 more sources directly to your AI assistant, with no request-counting or scraping infrastructure to manage.
SimilarWeb alternative for AI assistants
SimilarWeb provides detailed web traffic estimates but requires a dashboard and significant budget. Trends MCP delivers web traffic trend signals - whether a site is growing or declining in visits - directly to your AI assistant via MCP. Ask your AI to check competitor traffic trends without leaving your workflow.
SparkToro alternative for AI assistants
SparkToro maps audience interests and where audiences spend time online. Trends MCP provides the live trend layer: what your target audience is actively searching for, discussing, and watching right now - across Google, Reddit, YouTube, TikTok, and more - delivered directly to your AI.
Talkwalker alternative for trend data
Talkwalker was acquired by Hootsuite in 2024 and is now positioned as Hootsuite's social listening and intelligence layer. It covers 30+ social networks, 150 million websites, and media content with AI-powered trend detection. Enterprise pricing, annual contracts, no public rates. If you need live trend data in your AI assistant - not a social media management platform - Trends MCP delivers signals from Google, TikTok, Reddit, Amazon, and 12 more sources through a single MCP connection.
The alternative data layer Bloomberg does not cover
Bloomberg Terminal is the standard for financial data - price, fundamentals, filings, and news. What it does not cover is consumer behavior: what people are searching for, which brands they are paying attention to, how web traffic is trending, and what retail sentiment looks like on Reddit. Trends MCP fills that gap, delivering behavioral alternative signals to your AI in real time.
The Google Trends alternative built for AI
Google Trends shows you one platform's relative interest. Trends MCP gives your AI absolute volume estimates across 25+ platforms simultaneously - Google, TikTok, YouTube, Reddit, Amazon, Wikipedia, and more - normalized to the same scale so you can compare them directly.
Trend data API pricing comparison
Trend data API pricing is rarely what it appears. SerpApi charges per request with expiring credits. Meltwater and Brandwatch require enterprise contracts with no public pricing. Exploding Topics locks the API behind higher-tier plans. This page breaks down the true cost of each major trend data option in 2026 - including what you get per dollar, what expires, and what the hidden costs are.
Trends MCP vs Exploding Topics
Exploding Topics curates a database of hand-picked rising trends for human browsing. Trends MCP is a query tool that lets your AI pull live trend data for any keyword across 15+ platforms on demand. The comparison comes down to discovery vs. research - and whether your workflow is browser-based or AI-native.
Trends MCP vs Glimpse
Glimpse is a browser extension that adds absolute search volume to Google Trends. Trends MCP is an MCP server that delivers live trend data from 15+ platforms directly to your AI assistant. Different tools built for different workflows - here is how they compare.
Trends MCP vs pytrends
pytrends is a Python library that scrapes Google Trends. It is free, widely used, and periodically broken. Trends MCP is a managed MCP server that delivers live trend data from 15+ platforms to your AI assistant. For Python developers running trend data pipelines, here is how the two options compare.
Trends MCP vs SerpApi for Google Trends data
SerpApi offers a Google Trends endpoint as part of its SERP scraping platform. Trends MCP is a dedicated trend data MCP server covering 15+ platforms. Both give developers programmatic Google Trends access - here is how pricing, data quality, and workflow fit compare.
Trends MCP vs the Google Trends API
There is no official Google Trends API. What developers call the 'Google Trends API' is either pytrends (an unofficial scraper), SerpApi's Google Trends endpoint (a paid scraping proxy), or the raw Google Trends website. Trends MCP is the MCP-native alternative: structured Google Search trend data delivered to your AI, without scraping or unofficial libraries.
When read-only trend data belongs in the MCP stack
Some marketing stacks pair a read-only trend server with CMS and optimization tools that already own publishing. Trends MCP fits that lane: live series, growth windows, and ranked feeds without asking the model to push drafts to production.
When web search MCP servers stop short of demand analytics
Roundups for Claude and Cursor often highlight retrieval servers first. This page names the job-to-be-done gap and shows where a normalized trend stack fits without pretending the products replace each other.
YipitData alternative for AI-powered research
YipitData delivers high-quality transaction and consumer data - but requires a six-figure annual contract and a data engineering pipeline to consume. Trends MCP gives your AI live consumer-facing alternative signals in a single MCP connection: search demand, web traffic, news sentiment, Reddit activity, and Wikipedia spikes. No contract, no pipeline, no waiting.

Developer

Amazon product search interest assistants can chart
Marketplace demand shows up as product and category search on Amazon before it stabilizes elsewhere. Source amazon gives assistants high-intent curves for naming SKUs, planning inventory, and stress-testing launch timing against real shopper queries.
API orchestration patterns for trend data and MCP agents
Platforms such as Zapier, Make, and n8n dominate search results for orchestrating APIs, yet teams still struggle to merge trend pulls with CRM tickets, databases, and chat alerts. Trends MCP exposes the same trend operations through REST POST and MCP so orchestrations stay predictable.
App install estimates assistants can query by package id
Mobile teams track growth by bundle id, not by marketing nicknames. Source app downloads expects Android package identifiers so assistants return install-trend style signals without confusing display names from the Play Store.
Connect n8n automations to live trend data
n8n shines when each node has a clean contract. Trends MCP supplies one HTTP surface and one MCP endpoint for Google, YouTube, TikTok, Reddit, Amazon, and more, so workflows can branch on real momentum instead of brittle scrapers.
CrewAI trend research crews with MCP backed tools
Multi agent frameworks only look smart when every role has durable tools. Trends MCP supplies trend series, growth windows, and live feeds through one MCP server so researcher, analyst, and writer agents share the same numeric ground rules.
DevRel trend reports built from adoption and discovery signals
Developer relations teams publish weekly snapshots, launch readouts, and ecosystem commentary. Trends MCP gives them npm download curves, GitHub trending lists, and search interest series so those posts stay grounded in fresh quantitative inputs instead of hand copied charts.
Game liveops trend radar for MCP connected teams
Liveops producers can pair Steam concurrent player curves, GitHub trending signals, and YouTube search demand inside the same AI client where patch notes are drafted.
GitHub Actions workflows that post trend reports from REST
CI can call the same POST JSON contract as MCP clients, which turns weekly growth checks into pull request comments or Slack-ready artifacts. Secrets stay in GitHub, responses stay structured, and reviewers see the exact windows that produced a number.
GitHub trending repositories API
GitHub has no supported trending JSON mirror of the public trending page. Trends MCP exposes GitHub Trending Repos as a ranked list for agents and nightly jobs.
Give LLMs live trend data through MCP or REST
Developers and power users often look for a single pipe that returns structured trend series instead of brittle scraping. Trends MCP exposes normalized time series, growth windows, and live leaderboards so assistants stay inside tool calls instead of guessing from stale training cutoffs.
Google Search trend data your assistant can call directly
Search demand is the default signal for briefs, SEO, and product questions. With source set to google search, an MCP-connected assistant returns dated points, normalized scores, and volume fields where the pipeline supplies them, so answers cite a time series instead of a static guess.
Headless trend API for automation and agents
Developers search for JSON trend endpoints that fit cron jobs, CI checks, and autonomous agents without maintaining scrapers or source-specific SDKs. Trends MCP exposes POST https://api.trendsmcp.ai/api with get_trends, get_growth, and top feeds so the same contract powers MCP clients and bare HTTP callers.
How to build a trends dashboard
A trends dashboard is only as good as its data pipeline. Most attempts fail at the data layer - scrapers that break, single-source coverage, or relative-only values that cannot be meaningfully compared. This guide covers how to build a live trends dashboard using Trends MCP as the data source: what to query, how to structure the data, and how to display it with consistent cross-platform comparisons.
Image search demand the assistant can query as structured data
Visual categories, aesthetics, and how-to imagery often show up in image search before they dominate text queries. Source google images gives assistants a parallel series for the same phrases brands use in briefs, so creative and SEO discussions include visual intent, not only web blue links.
LangChain agents that call live trend tools through MCP
LangGraph and LangChain runtimes can treat trend pulls like any other tool: one MCP server, stable JSON, and explicit source strings for Google, YouTube, TikTok, Reddit, Amazon, news, npm, and Steam. The goal is fewer custom API wrappers and more time spent on routing, evaluation, and guardrails.
LangGraph agents that call live trend tools through MCP
Graph based agent loops need reliable tool nodes. Trends MCP exposes cross platform series, growth math, and live leaderboards behind one MCP URL so LangGraph graphs can branch on momentum instead of hand written JSON.
News mention volume assistants can track over time
Coverage intensity answers whether the press is piling onto a story or moving on. Source news volume returns structured series so assistants describe attention cycles with dates attached, separate from sentiment or Google News search clicks.
News search interest assistants can pull on demand
Newsrooms and comms teams track how fast a story spreads inside Google News search. Source google news exposes that interest as structured points so assistants quantify whether a topic is still climbing, cooling, or bouncing compared with prior coverage cycles.
News sentiment scores assistants can plot over time
Coverage volume alone hides whether articles lean positive or negative. Source news sentiment returns scored series so assistants describe how editorial tone shifted during a launch, lawsuit, or policy fight.
Normalizing trend data across platforms
A TikTok hashtag with 2 million views and a Google search term with 2 million monthly searches are not the same thing - and treating them as if they are produces misleading analysis. Cross-platform trend comparison is only valid when the underlying data is normalized to a consistent scale. Trends MCP normalizes all sources to a calibrated 0-100 scale so you can legitimately compare Google, TikTok, Reddit, Amazon, and more in a single query.
npm download curves assistants can fetch for exact package names
JavaScript ecosystem decisions hinge on weekly download counts. Source npm requires the precise package string so assistants compare frameworks fairly and avoid fuzzy matches across similarly named libraries.
Open source growth checks with npm, GitHub, and optional Steam data in MCP
Maintainers guess traction from stars alone. Trends MCP adds npm download curves, GitHub trending placement, and optional Steam concurrent player context so developer advocates cite structured evidence inside AI sessions.
Programmatic SEO data pipeline with a trends API
Large site programs need repeatable pulls, stable JSON, and guardrails against silent failures. Trends MCP offers REST access that matches the MCP tool contracts so the same keyword logic can power chat exploration and production jobs.
Python trends API
The most common Python approach to trend data is pytrends - an unofficial Google Trends scraper that works until it does not. Trends MCP is accessible via standard HTTP from any Python script, returns structured JSON with absolute volume estimates and data quality scores, covers 15+ sources, and does not break when Google updates its frontend. No SDK required, no special library, just an HTTP call with an Authorization header.
Shopping search demand assistants can read as time series
Purchase intent often concentrates in Google Shopping before it spreads across generic web search. Source google shopping gives assistants a clean series for product and category phrases so merchandising, pricing, and retail analytics briefs cite the same JSON the API returns.
Steam concurrent player signals assistants can query by game name
Studios and investors watch whether player counts are climbing or cooling. Source steam expects the game display name used in the docs so assistants return monthly-style concurrent signals without guessing App IDs.
Subreddit growth signals assistants can pull with strict keyword rules
Reddit in Trends MCP measures subscriber change for named communities, not post text volume. Assistants must pass the subreddit name without the r/ prefix so get_trends and get_growth return the right pipeline and avoid silent mismatches.
Test the Trends API in Postman before wiring agents
Postman remains the fastest way to prove auth, headers, and JSON bodies before an MCP client or LangChain wrapper ever sees the wire. Trends MCP uses a single POST shape for get_trends, get_growth, and get_top_trends, which maps cleanly to a small collection of saved requests.
TikTok hashtag momentum assistants can query in structured form
Short-video culture moves on hashtags and topics before long-form search catches up. Source tiktok tracks hashtag volume so assistants quantify spikes, rank candidates, and pull live leaderboards without opening the app.
Trend data for RAG pipelines and AI agents
Teams building RAG and agent stacks often ask how to ground answers in fresh demand signals instead of only static documents. Trends MCP supplies time-stamped series and growth summaries your retrieval layer can fetch at query time, then cite like any other structured tool output.
Trend tools for assistants, copilots, and backend services
Tool-calling assistants need stable JSON, predictable quotas, and source strings that do not drift. Trends MCP exposes get_trends, get_growth, get_ranked_trends, and get_top_trends over HTTP MCP and REST so Claude, ChatGPT, Cursor, Windsurf, and custom services can pull live signals from Google, YouTube, TikTok, Reddit, Amazon, and more without maintaining scrapers.
Trends API for JavaScript
JavaScript has no equivalent of pytrends - there is no widely-used unofficial Google Trends library for Node.js that has maintained community trust. Trends MCP fills the gap directly: it is accessible via standard fetch from any JavaScript environment (Node.js, browser, edge runtime, serverless function) and returns structured JSON with normalized values and absolute volume estimates from 15+ sources.
Wikipedia curiosity signals assistants can read as time series
Sudden spikes in article traffic often precede broader search and news cycles. Source wikipedia exposes page-view style demand so assistants explain when the public is trying to learn a topic, not only when headlines mention it.
Wire Make.com scenarios to live multi-source trends
Make excels at scheduled HTTP calls, routers, and alerts. Trends MCP returns normalized series and growth windows from one POST endpoint so scenarios can branch on momentum without maintaining scrapers for each platform.
YouTube search demand wired into assistant workflows
Video strategists care about what people type into YouTube search, not only view counts on a single upload. Source youtube returns structured history and growth so assistants recommend titles, series plans, and collabs from query-level interest.
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Common questions

Anyone using AI assistants for research or analysis: content marketers, SEOs, e-commerce teams, market researchers, brand managers, product managers, developers, and founders. If your workflow involves understanding what people are interested in, searching for, or buying, Trends MCP gives your AI the live data to answer those questions.
Yes. A single Trends MCP connection gives your AI access to all 25+ data sources and all use cases simultaneously. You can do competitor tracking and content strategy research in the same AI conversation.
No. One config snippet connects your AI to everything. The use case pages describe different query patterns and data sources, but they all run through the same single Trends MCP connection.